NumPy vs. scikit-image Comparison


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About Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.	About scikit-image is a collection of algorithms for image processing. It is available free of charge and free of restriction. We pride ourselves on high-quality, peer-reviewed code, written by an active community of volunteers. scikit-image provides a versatile set of image processing routines in Python. This library is developed by its community, and contributions are most welcome! scikit-image aims to be the reference library for scientific image analysis in Python. We accomplish this by being easy to use and install. We are careful in taking on new dependencies, and sometimes cull existing ones, or make them optional. All functions in our API have thorough docstrings clarifying expected inputs and outputs. Conceptually identical arguments have the same name and position in a function signature. Test coverage is close to 100% and code is reviewed by at least two core developers before being included in the library.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Component Library solution for DevOps teams	Audience Developers and professionals requiring a free solution offering algorithms for their image processing projects
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing Free Free Version Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information NumPy numpy.org	Company Information scikit-image United States scikit-image.org
Alternatives Polars	Alternatives scikit-learn
h5py HDF5	Pillow
broot	Bokeh
PyQtGraph	Dask
Dask View All	Insight Toolkit (ITK) ITK View All
Categories Component Libraries Supported	Categories Image Processing API Supported

Integrations Cython Supported Yamak.ai Supported Yandex Data Proc Supported Akira AI Not Supported Avanzai Supported Codédex Supported Coiled Supported Dash Supported Gensim Supported JAX Supported Label Studio Not Supported MLReef Not Supported MPI for Python (mpi4py) Supported NVIDIA FLARE Supported PyCharm Supported Spyder Supported Train in Data Supported Unify AI Supported imageio Supported scikit-learn Supported Show More Integrations View All 22 Integrations	Integrations Cython Supported Yamak.ai Supported Yandex Data Proc Supported Akira AI Supported Avanzai Not Supported Codédex Not Supported Coiled Not Supported Dash Not Supported Gensim Not Supported JAX Not Supported Label Studio Supported MLReef Supported MPI for Python (mpi4py) Not Supported NVIDIA FLARE Not Supported PyCharm Not Supported Spyder Not Supported Train in Data Not Supported Unify AI Not Supported imageio Not Supported scikit-learn Not Supported Show More Integrations View All 9 Integrations
Claim NumPy and update features and information Claim NumPy and update features and information	Claim scikit-image and update features and information Claim scikit-image and update features and information